第5章 市場預測

市場潛力推估

智慧城市AI軟體市場

市場規模：產業部門別

獲益、主要使用案例

獲益：技術別

獲益：地區別

智慧城市AI軟體部門

治理

安全與隱私

交通與運輸

能源與資源管理

基礎建設管理

醫療保健

主要智慧城市AI使用案例：累積獲益別

總論、建議

第6章 企業總覽

第7章 用語

第8章 目錄

第9章 圖表

第10章 調查範圍、情報來源、調查方法、註記

目錄

Product Code: AISC-20

The concept of a smart city has been around for decades, driven by a utopian vision of city systems, services, workers, and residents functioning in synchronicity for a more efficient, safer, and productive environment. Artificial intelligence (AI) will likely be the catalyst for enabling the smart city. Smart cities will use machine learning (ML), deep learning (DL), computer vision (CV), and natural language processing (NLP) technologies (among others) to enable city services, assets, and systems to become more powerful, efficient, and automated. These improvements will result in an enhanced environment in which to live, work, and play.

Most city planners and departments are focused on operational, fiscal, or quality of life issues. Today's cities are expected to evolve so that the business and residential experience is efficient and cost-effective. Failure to address quality of life issues will result in businesses, residents, and tourists seeking out other cities or choosing to reside and work in the suburbs or exurbs. The goal is to create city systems and services that operate more efficiently and provide significant benefits. These benefits can come in many forms, including reduced or more efficient traffic, cleaner air, more efficient government services, and reduced crime. Tractica forecasts that global smart city AI software revenue will reach nearly $5 billion annually by 2025, up from $673.8 million in 2019.

This Tractica report provides a quantitative assessment of the market opportunity for smart city AI applications. The study includes analyses of 23 AI use cases distributed across six industry sectors: governance, safety & security, mobility & transportation, energy & resource management, infrastructure management, and healthcare. Each use case is described in detail, along with real-world examples of technology being deployed in smart cities around the world. Global market forecasts, segmented by technology, geography, sector, industry, and use case, extend through 2025. Profiles of 37 companies active in the smart city AI space are also included in the report.

Key Questions Addressed:

What are the key use cases for AI within the smart city, and which sectors will experience the most revenue growth between 2019 and 2025?

Which use cases are projected to be adopted in the near term, and which ones will not see strong use until later in the forecast period?

What are the key drivers of smart city AI software adoption in each industry and technology category?

Which underlying AI technologies (vision, language, and analytics) are powering the smart city AI use cases?

What barriers exist in the marketplace, and how will they affect the adoption of AI technology?

Which regions of the world will see the most activity with smart city AI projects?

Which companies are actively supplying AI software and services to the public sector?